Supplementary Information: “Extracting the interdisciplinary specialty structures in social media data-based research: A clustering-based network approach”
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Datum
2022
Herausgeber:innen
Autor:innen
Fan, Yangliu
Lehmann, Sune
Blok, Anders
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Zusammenfassung
In this Supplementary Information, we provide the additional analyses of authors and detail the results for network analysis that we present in the paper. The weighted network is generally represented as a graph G = (V, E, 𝜔) with a weight 𝜔 assigned to each edge, where V is the graph's vertex set, and E is the edge set. We assume that G is a simple undirected graph with no multiple edges or loops, and edges have no orientations.
S1 Author-level analysis
S2 Comparison of the two network filtering techniques
S3 Network statistics
S4 The disciplinary composition of clusters in the networks
Beschreibung
Schlagwörter
Bibliometrics \ Interdisciplinarity \ Social media data \ Network science \ Web of Science \ Microsoft Academic Graph